Nonlinear system identification with delayed neural network

In this brief, the identification problem for time-varying delay nonlinear system is discussed. We use a delayed dynamic neural network to do on-line identification. This neural network has dynamic series-parallel structure. The stability conditions of on-line identification are derived by Lyapunov-Krasovskii approach. The weights of the delayed neural network are updated by the identification error.